Data Scientist II - AI/ML @ Cotiviti | Jobright.ai
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Cotiviti · 3 days ago

Data Scientist II - AI/ML

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Responsibilities

Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
Prepare your final trained model and develop a validation test set for QA.
Work with production operations to deploy your model into production and support them in monitoring model performance.
Participate in other data science teams collaborating with your peers to support their projects.
Participate in knowledge sharing sessions to bring new insights and technologies to the team.
Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
Provide End to End value-based solutions, including data pipeline, model creation and application for end-user consumption.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Computer scienceStatisticsOperations researchNatural language processingTransformersLLMsHuggingFaceLangchainLLAMAMistralOpenAIVector databasesData scienceMachine learningPandasScikit-learnKerasNltkTensorFlowPyTorchGPUAWSAzureGCPApache SparkDistributed datasetsTechnical conceptsAIValue-drivenTask management

Required

Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research.
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
4+ years of hands-on data science experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
Experience working with Apache Spark™ and large-scale distributed datasets.
Experience communicating technical concepts to non-technical and technical audiences is a plus.
Passion for collaboration, learn it all mindset and driving value with AI.
Ability to work independently as well as collaborate as a team.
Flexibility to work with global teams as well geographically dispersed US based teams.
Professional with ability to properly handle confidential information.
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
Ability to handle multiple tasks, prioritize and meet deadlines.
Ability to work within a matrixed organization.
Proficiency in all required skills and competencies above.

Preferred

Experience communicating technical concepts to non-technical and technical audiences is a plus.

Benefits

Medical insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
401(k) savings plans
Paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year

Company

Cotiviti

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Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States.

H1B Sponsorship

Cotiviti has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (77)
2022 (91)
2021 (84)
2020 (68)

Funding

Current Stage
Late Stage

Leadership Team

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Adam Gilbert
Director, Interoperability Operations and Partnerships
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Chris McIntyre
Sr. Program Manager, RQNC Operations
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Company data provided by crunchbase
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